English
norskBlar i forfatter "Kuttner, Samuel"
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Advancing Quantitative PET Imaging with Machine Learning
(Doctoral thesis; Doktorgradsavhandling, 2021-05-28)Medical imaging with positron emission tomography (PET) plays an important role in the detection, staging, and treatment response assessment in cancer, neurological and cardiovascular conditions, inflammation and infection. PET imaging is based on measuring the distribution of injected radioactive tracers, designed to follow specific biological pathways. One of the main advantages with PET is that ... -
Cerebral blood flow measurements with 15O-water PET using a non-invasive machine-learning-derived arterial input function
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-08)<p>Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of <sup>15</sup>O-labeled water by using tracer kinetic modelling. However, for quantification of regional CBF, an arterial input function (AIF), obtained from arterial blood sampling, is required. In this work we evaluated a novel, non-invasive approach for input function prediction based on machine learning ... -
First in vivo evaluation of a potential SPECT brain radiotracer for the gonadotropin releasing hormone receptor
(Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-09)<p><i>Objectives</i>: In vivo evaluations of a gonadotropin releasing hormone-receptor single photon emission computed tomography radiotracer for non-invasive detection of gonadotropin releasing homone-receptors in brain.</p> <p><i>Results</i>: We have used a simple, robust and high-yielding procedure to radiolabel an alpha-halogenated bioactive compound with high radiochemical yield. Literature ... -
The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-08-03)Background: Matrix metalloproteinase-8 (MMP-8) has oncosuppressive properties in various cancers. We attempted to assess MMP-8 function in oral tongue squamous cell carcinoma (OTSCC).<p> <p>Methods: MMP-8 overexpressing OTSCC cells were used to study the effect of MMP-8 on proliferation, apoptosis, migration, invasion and gene and protein expression. Moreover, MMP-8 functions were assessed in the ... -
Machine learning derived input-function in a dynamic 18F-FDG PET study of mice
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-01-13)Tracer kinetic modelling, based on dynamic <sup>18</sup>F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is used to quantify glucose metabolism in humans and animals. Knowledge of the arterial input-function (AIF) is required for such measurements. Our aim was to explore two non-invasive machine learning-based models, for AIF prediction in a small-animal dynamic FDG PET study. 7 tissue ... -
Positron emission tomography and single photon emission computed tomography imaging of tertiary lymphoid structures during the development of lupus nephritis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-03)Lymphoid neogenesis occurs in tissues targeted by chronic inflammatory processes, such as infection and autoimmunity. In systemic lupus erythematosus (SLE), such structures develop within the kidneys of lupus-prone mice ((NZBXNZW)F1) and are observed in kidney biopsies taken from SLE patients with lupus nephritis (LN). The purpose of this prospective longitudinal animal study was to detect early ... -
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-22)The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model that identifies areas of future recurrence using a voxel-based radiomics analysis of magnetic resonance imaging (MRI) data. This multi-institutional study included ... -
Quantitative PET/MR imaging of lung cancer in the presence of artifacts in the MR-based attenuation correction maps
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-13)<i>Background</i> - Positron emission tomography (PET)/magnetic resonance (MR) imaging may become increasingly important for assessing tumor therapy response. A prerequisite for quantitative PET/MR imaging is reliable and repeatable MR-based attenuation correction (AC).<p> <p><i>Purpose</i> - To investigate the frequency and test–retest reproducibility of artifacts in MR-AC maps in a lung cancer ... -
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-29)Tumor segmentation is a crucial but difficult task in treatment planning and follow-up of cancerous patients. The challenge of automating the tumor segmentation has recently received a lot of attention, but the potential of utilizing hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI), a novel and promising imaging modality in oncology, is still under-explored. Recent ...
